The Applied Computational Linguistics group at Potsdam University conducts 
research on different perspectives on discourse structure (coherence, 
coreference, etc.) and on applications of discourse processing, for example in 
argument mining and in collaborations with social sciences (educational, 
political science). See http://angcl.ling.uni-potsdam.de.

The position to be filled is in a new DFG-funded project with partners in 
Computer Science (Halle-Wittenberg) as well as Literary Science and E-Research 
(Berlin). The goal is to implement a solution for text alignment in scenarios 
where an author writes different versions of the "same" text in different 
languages; i.e., where portions of the text in the other language can be 
changed, shortened, extended, or reordered. In  collaboration with the team in 
Halle-Wittenberg, the successful candidate will conduct experiments on building 
alignments on word, phrase and sentence level. A central basis for these 
alignments will be measures of semantic similarity, for example by utilizing 
multilingual word embeddings.

The position runs for three years and offers the possibility for obtaining a 
PhD. 
Salary is according to the Brandenburg TV-L salary scale (75%), see for 
instance https://zbb.brandenburg.de/sixcms/media.php/9/Tabelle%20TV-L_2022.pdf

Candidates are expected to hold an MSc degree in Computational Linguistics or a 
related field, with experience in methods relevant to the project. Solid 
programming skills in Python are required, experience in working with 
(multilingual) corpora is a plus. Near-native knowledge of either English or 
German is required, and some knowledge of the other language is a plus. 

Please send your application before Nov 17th to the email below, consisting of 
a CV, a statement of research interests and a summary (or a sample chapter of) 
the MSc thesis; letters of reference may optionally be added.

Inquiries and applications to: Prof. Manfred Stede, [email protected]
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